% Things to do in Tex
        % 1. put \rlap{} around Observations and clusters so they don't line up w/ decimal
        % 2. Add the scalebox to reduce size
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        % 5. Add a \midrule before controls
        % 6. Add rows for FEs and interacted controls

\begin{table}[h]
\caption{Heterogeneous Treatment Effects - Embeddedness (with Controls)}
\begin{center}
\begin{threeparttable}
\scalebox{.65}{
\begin{tabular}{l@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{} D{.}{.}{3.5}@{}}
\toprule
 & \multicolumn{3}{c}{Attitude Index} & \multicolumn{1}{c}{Trust} & \multicolumn{1}{c}{Empathy} & \multicolumn{1}{c}{Account} & \multicolumn{1}{c}{Corrupt} \\
\cmidrule(lr){2-4} \cmidrule(lr){5-5} \cmidrule(lr){6-6} \cmidrule(lr){7-7} \cmidrule(lr){8-8}
 & \multicolumn{1}{c}{(1)} & \multicolumn{1}{c}{(2)} & \multicolumn{1}{c}{(3)} & \multicolumn{1}{c}{(4)} & \multicolumn{1}{c}{(5)} & \multicolumn{1}{c}{(6)} & \multicolumn{1}{c}{(7)} \\
\midrule
Treated                 & 0.30^{**}  & 0.29^{**}  & 14.38      & 16.23^{*}  & 7.70       & 9.56       & -7.60       \\
                        & (0.13)     & (0.13)     & (11.75)    & (9.07)     & (10.27)    & (10.31)    & (12.26)     \\
Lives in Province       & 0.18^{***} & 0.16^{**}  & 0.16^{**}  & 0.11^{*}   & 0.17       & 0.15       & -0.01       \\
                        & (0.02)     & (0.06)     & (0.06)     & (0.06)     & (0.13)     & (0.12)     & (0.14)      \\
Treated*InProvince      & -0.27^{*}  & -0.26^{*}  & -0.28^{**} & -0.27      & -0.38^{*}  & -0.06      & -0.13       \\
                        & (0.13)     & (0.13)     & (0.12)     & (0.24)     & (0.21)     & (0.20)     & (0.31)      \\
\midrule
Base Outcome            & 0.26^{***} & 0.25^{***} & 0.26^{***} & 0.32^{***} & 0.21^{***} & 0.43^{***} & 0.21^{***}  \\
                        & (0.07)     & (0.07)     & (0.07)     & (0.06)     & (0.04)     & (0.05)     & (0.06)      \\
Rank (officer)          & 0.01       & -0.00      & 0.05       & -0.01      & 0.13       & -0.02      & -0.15       \\
                        & (0.09)     & (0.07)     & (0.14)     & (0.12)     & (0.12)     & (0.10)     & (0.09)      \\
Education (officer)     & -0.01      & -0.02      & -0.04      & -0.02      & -0.09      & 0.01       & 0.11^{**}   \\
                        & (0.06)     & (0.05)     & (0.09)     & (0.08)     & (0.08)     & (0.07)     & (0.05)      \\
Catholic (officer)      & 0.05       & 0.06       & 0.11^{*}   & 0.13       & 0.30^{***} & -0.05      & 0.12^{**}   \\
                        & (0.08)     & (0.08)     & (0.06)     & (0.18)     & (0.09)     & (0.07)     & (0.05)      \\
Age (officer)           & -0.01      & -0.00      & -0.01      & 0.02^{**}  & 0.01       & -0.01      & 0.00        \\
                        & (0.01)     & (0.01)     & (0.01)     & (0.01)     & (0.01)     & (0.01)     & (0.01)      \\
Gender (officer)        & -0.05      & -0.03      & -0.04      & -0.02      & -0.12^{*}  & -0.07      & 0.10        \\
                        & (0.05)     & (0.05)     & (0.07)     & (0.07)     & (0.06)     & (0.08)     & (0.13)      \\
Years Served (officer)  & -0.00      & -0.00      & -0.00      & 0.01       & -0.00      & -0.01      & -0.01       \\
                        & (0.00)     & (0.01)     & (0.01)     & (0.01)     & (0.01)     & (0.02)     & (0.01)      \\
Commute (officer)       & -0.02      & -0.01      & -0.02      & -0.01      & 0.02       & -0.02      & 0.01        \\
                        & (0.02)     & (0.02)     & (0.03)     & (0.03)     & (0.02)     & (0.02)     & (0.05)      \\
PSM (officer)           & 0.02       & 0.06       & -0.01      & 0.19^{*}   & 0.31^{***} & 0.02       & -0.42^{***} \\
                        & (0.10)     & (0.10)     & (0.10)     & (0.10)     & (0.10)     & (0.08)     & (0.14)      \\
\midrule                        
Education (mun)         &            & 0.13       & 0.65       & 1.55       & 0.97       & -0.33      & -1.70^{**}  \\
                        &            & (0.73)     & (0.79)     & (0.91)     & (1.06)     & (1.07)     & (0.77)      \\
Population (mun)        &            & 0.00       & -0.00      & -0.00^{*}  & -0.00      & 0.00       & 0.00^{**}   \\
                        &            & (0.00)     & (0.00)     & (0.00)     & (0.00)     & (0.00)     & (0.00)      \\
Household Size (mun)    &            & -0.13      & 0.30       & 2.34^{***} & 0.51       & -0.11      & -0.66       \\
                        &            & (0.41)     & (0.32)     & (0.55)     & (0.39)     & (0.32)     & (0.60)      \\
Percent Catholic (mun)  &            & -0.18      & 0.28       & 5.11       & -3.97      & 1.25       & 9.74^{**}   \\
                        &            & (3.92)     & (4.68)     & (5.52)     & (7.62)     & (8.86)     & (3.85)      \\
Crime Rate (mun)        &            & 0.34^{*}   & 0.71^{***} & -0.19      & 0.66^{***} & 0.26       & 0.47        \\
                        &            & (0.18)     & (0.21)     & (0.34)     & (0.20)     & (0.26)     & (0.35)      \\
NPA Presence 2015 (mun) &            & 0.05       & 0.11       & -0.44^{*}  & 0.20       & 0.06       & 0.32        \\
                        &            & (0.17)     & (0.21)     & (0.21)     & (0.20)     & (0.15)     & (0.22)      \\
\midrule                        
Treat*Rank              &            &            & -0.06      & 0.29       & -0.05      & 0.02       & 0.03        \\
                        &            &            & (0.21)     & (0.22)     & (0.26)     & (0.17)     & (0.18)      \\
Treat*Education         &            &            & 0.09       & -0.01      & 0.21       & 0.00       & 0.02        \\
                        &            &            & (0.18)     & (0.18)     & (0.14)     & (0.23)     & (0.19)      \\
Treat*Catholic          &            &            & -0.15      & -0.39      & -0.32      & -0.11      & -0.04       \\
                        &            &            & (0.20)     & (0.24)     & (0.28)     & (0.15)     & (0.24)      \\
Treat*Age               &            &            & 0.00       & -0.03      & -0.01      & -0.01      & 0.01        \\
                        &            &            & (0.01)     & (0.02)     & (0.02)     & (0.01)     & (0.01)      \\
Treat*Gender            &            &            & 0.06       & -0.04      & -0.01      & 0.26       & -0.23       \\
                        &            &            & (0.13)     & (0.13)     & (0.18)     & (0.15)     & (0.16)      \\
Treat*YearsServed       &            &            & 0.00       & 0.01       & 0.00       & 0.02       & -0.02       \\
                        &            &            & (0.02)     & (0.02)     & (0.02)     & (0.03)     & (0.02)      \\
Treat*Commute           &            &            & 0.03       & 0.04       & -0.07      & 0.04       & 0.05        \\
                        &            &            & (0.06)     & (0.05)     & (0.05)     & (0.04)     & (0.07)      \\
Treat*PSM               &            &            & 0.08       & 0.01       & 0.14       & 0.12       & 0.18        \\
                        &            &            & (0.09)     & (0.14)     & (0.13)     & (0.12)     & (0.24)      \\
\midrule
R$^2$                   & 0.12       & 0.10       & 0.13       & 0.24       & 0.16       & 0.18       & 0.14        \\
Observations            & \rlap{455} & \rlap{427} & \rlap{427} & \rlap{603} & \rlap{601} & \rlap{496} & \rlap{546}         \\
Clusters                & \rlap{18}         & \rlap{18}         & \rlap{18}         & \rlap{18}         & \rlap{18}         & \rlap{18}         & \rlap{18}          \\
\bottomrule
\end{tabular}}
\end{center}
\begin{tablenotes}[flushleft]
\scriptsize{\item \sym{*} \(p<.10\), \sym{**} \(p<.05\), \sym{***} \(p<.01\)} 
\item Models in this table use the panel specification denoted in equation 1 and include a dummy variable for missing baseline. Standard errors are clustered at the station-level.}
\end{tablenotes}
\end{threeparttable}
\label{tab:HetEffects_Embed_wControl}
\end{table}
